| Wednesday | |||||||
|---|---|---|---|---|---|---|---|
| 10 July 2019 | |||||||
| Time | Concorde 1+2 | Cassiopée | Caravelle 2 | Saint-Exupéry | Ariane 1+2 | Guillaumet 1+2 | |
Keynote |
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10:00 |
R for better science in less time |
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Data handling |
Education |
Models 1 |
Shiny |
Applications 1 |
Multivariate analysis |
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11:30 |
Enhancements to data tidying |
Mathematical Modeling with R: Embedding Computational Thinking into High School Math Classes in the United States |
A Generalized Framework for Parametric Regression Splines |
Logging and Analyzing Events in Complex Shiny Apps |
Application of WRSS in Water and Energy Analysis; An object oriented R package for large-scale water resources operation |
ClustBlock: a package for clustering datasets |
|
11:48 |
n() cool #dplyr things |
Teaching data science with puzzles |
Regularized estimation of the nominal response model |
mwshiny: Connecting Shiny Across Multiple Windows |
An R Package for the Distributed Hydrological Model GEOtop |
ordinalClust: an R package for analyzing ordinal data. |
|
12:06 |
You don't need Spark for this - larger-than-RAM data manipulation with disk.frame |
Teaching R and statistics to higher degree research students and industry professionals |
merlin - mixed effects regression for linear and nonlinear models |
Shiny app deployment and integration into a custom website gallery |
Big data analysis for power plant operational data for optimizing engineering design in R / Shiny |
funHDDC, a R package to cluster univariate and multivariate functional data |
|
12:24 |
Data frames for grouped data: the gdata.frame package |
ghclass: an R package for managing classes with GitHub |
Modern likelihood-frequentist inference with the likelihoodAsy package |
Automated Surveys and Reports for Expert Elicitation with Shiny |
Anomaly Detection in R |
Using the package |
|
12:42 |
git2rdata: storing dataframes in a plain text format suitable for version control |
Data Science in a Box |
General-to-Specific (GETS) Modelling with User-Specified Estimators and Models |
Collective and Point Anomaly Detection in R |
Visualizing multivariate linear models in R |
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Shiny 2 |
Applications 2 |
Social science, marketing & business |
Reproducibility |
Movement & transport |
Bioinformatics 1 |
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14:00 |
Golem : A Framework for Building Robust & Production Ready Shiny Apps |
Using AI and R to help improve the quality and health of your personalised food basket. |
Visualisation of open-ended interviews through qualitative coding and cognitive mapping |
Package flextable: a grammar to produce tabular reporting from R |
Navigating through the R packages for movement |
Multi-data learning with M-ABC: extending your ABC's |
|
14:18 |
Art of the Feature Toggle: Patterns for maintaining and improving Shiny applications over time |
Variation of patient turnover on a 30-minutes basis for 3 years: analysis of routine data of a Swiss University Hospital |
choicetools: a package for conjoint analysis and best-worst surveys |
Connecting R/R Markdown and Microsoft Word using StatTag for Collaborative Reproducibility |
Classes, methods and data analysis for trajectories |
Fast and Optimal Peak Detection in Large Genomic Data via the PeakSegDisk Package |
|
14:36 |
Data for all: Empowering teams with scalable Shiny applications |
Bridging agent-based modelling and R with nlrx: simulating pedestrian's long-term exposure to air pollution |
Robust mediation analysis using the R package robmed |
The "Rmd first" method: when projects start with the documentation |
Modelling spatial flows with R |
PEREpigenomics: a shiny app to visualize Roadmap Epigenomics data |
|
14:54 |
Best practices for building Shiny enterprise applications |
Simulation of the physical movement for Machine Learning with R: Simulation of Robot gait Optimization Using GA |
propro: Enhancing Discovered Process Models using Bayesian Inference and MCMC |
R gnumaker: easy Makefile construction for enhancing reproducible research |
R for Transport Planning |
clustDRM: an R package and Shiny app for modeling high- throughput dose-response data |
|
Keynote |
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16:00 |
A missing value tour in R |
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| For the official useR 2019 website, including conference information and tutorial schedule, visit user2019.fr. | |||||||
| Thursday | |||||||
|---|---|---|---|---|---|---|---|
| 11 July 2019 | |||||||
| Time | Concorde 1+2 | Cassiopée | Caravelle 2 | Saint-Exupéry | Ariane 1+2 | Guillaumet 1+2 | |
Keynote |
|||||||
09:15 |
Shiny's Holy Grail: Interactivity with reproducibility |
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⚡ |
Workflow & development |
Text mining |
Spatial & time series |
Open science, education & community |
Biostatistics & epidemiology |
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10:25 |
Transitioning between various RMarkdown packages for workflow optimization in academic research; a graduate student's perspective. |
{polite} - web etiquette for R users |
R in the Air |
Open-access software for research: beyond data analysis |
A Shiny Webapp for nutritional reformulation of food products according to French front-of-pack “Nutri-Score” label. |
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10:30 |
An Approach to Project Workflow for Professional Biostatistical Services |
The R Package sentometrics to Compute, Aggregate and Predict with Textual Sentiment |
Measuring inequalities from space. Analysis of satellite raster images with R |
Teaching reproducible spatial analysis in R |
Using Shiny to track winter pressures in the UK National Health Service (NHS) |
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10:35 |
ropsec: a package for easing operations security for the R user |
BibliographeR : a set of tools to help your bibliographic research |
SILand: an R package for estimating the spatial influence of landscape |
Use aRt to learn algorithms, math, and R |
antibioticR: An R package to identify resistant populations in environmental bacteria |
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10:40 |
compareWith - user-friendly diff viewing and VCS interaction |
ggwordcloud: a word cloud geometry for ggplot2 |
Spatio-temporal Analysis of Diabrotica Emergence |
The evolution and importance of the R-Ladies São Paulo chapter in Brazil |
MR studies in R: how to use genetic information for identifying modifiable risk factors |
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10:45 |
goodpractice - A Tool for Good Package Development |
Die Nutella oder Das Nutella? Grammatical Gender Prediction of German Nouns |
Navigating spatial data management and analysis in Sustainable Fisheries using a combined R-Python approach |
Building Active Community at Your Place |
Streamlining complex analyses of in-vivo data with INVIVOLDA shiny application |
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10:50 |
rt - R Tools for the Command Line |
Implementing a Classification and Filtering App for Multilingual Facebook Comments – A Use Case Of Data For Good with R |
Dealing with the change of administrative divisions over time |
Scaling useR Communities with Engagement and Retention Models |
A shiny web application for disease mapping. Making easy the fit of spatio-temporal models. |
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10:55 |
queryMed: Linking pharmacological and medical knowledge using semantic Web technologies |
persephone, seasonal adjustment with an object-oriented wrapper for RJDmetra |
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Communities & conferences |
Data mining |
Models 2 |
Programming 1 |
Forecasting |
Biostatistics & epidemiology 1 |
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11:30 |
R for Data Science Online Community |
Machine Learning with R: do it with a framework |
Using Rcpp* packages for easy and fast Gibbs sampling MCMC from within R |
HTTP Requests For R Users and Package Developers |
Flexible futures for fable functionality |
Reproducible data science to support outbreak responses: experience from the North Kivu Ebola outbreak |
|
11:48 |
Insights from the recent R community development and growth in Latin America |
Building and Benchmarking Automatic Machine Learning Systems |
A toolbox for fitting non-separable space-time log-Gaussian Cox models using R-INLA |
R and security |
Feature-based Time Series Forecasting |
Advancing data analytics for field epidemiologists using R: the R4epis innovation project |
|
12:06 |
AfricaR |
mlr3: A new modular framework for machine learning with R |
Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values |
DRY out your workflow with the usethis package |
Random forests for time series |
micemd: a smart multiple imputation R package for missing multilevel data |
|
12:24 |
The truth about satRdays (panel session, part 1) |
mlr3pipelines: Machine Learning Pipelines as Graphs |
REndo: An R Package to Address Endogeneity Without External Instrumental Variables |
Reusing tidyverse code, the easy way |
Smooth forecasting in R |
Facilitating external use with user-friendly interfaces: a health policy model case study |
|
12:42 |
The truth about satRdays (panel session, part 2) |
Discovering the cause: Tools for structure learning in R |
Simple Arrays |
Forecast Combination in R |
genogeographer - a tool for ancestry informative markers |
||
Operations & data products |
Programming 2 |
Numerical methods |
Visualisation |
Spatial data & maps |
Bioinformatics 2 |
||
14:00 |
How a non-profit uses R for its daily operations |
Sustainable Package Development |
Analysing results from Monte Carlo simulation studies using the rsimsum package and the INTEREST shiny app |
colorspace: A Toolbox for Manipulating and Assessing Color Palettes |
Strengthening of R in support of spatial data infrastructures management: geometa and ows4R packages |
Interfacing R/Bioconductor with Hail, a Spark-based platform for genomics |
|
14:18 |
rjenkins and rrundeck: Coordinating Continuous Integration and Delivery with R |
Typing R |
Algorithmic Differentiation in R using the RcppEigenAD package |
Vegawidget: Composing and Rendering Interactive Vega(-Lite) Charts |
Resample-smoothing of Voronoi intensity estimators |
iSEE: interactive and reproducible exploration and visualization of genomics data |
|
14:36 |
Advanced Git Integrations for Automating the Delivery of Reproducible Data Products in R |
nCompiler: C++ code-generation from R code |
Describing and solving differential equations with a new domain specific language, odin |
Visualising high-dimensional data: new developments of the tourr package using Shiny and plotly |
Thematic mapping with "cartography" |
POMA: Shiny tool for targeted metabolomic data statistical analysis and visualization |
|
14:54 |
GitHub actions for R |
Mixed interactive debugging of R and native code with FastR and Vistual Studio Code |
xstatR: an Environment for Running R and XLISP-STAT in Docker Containers |
Creating privacy protecting density maps: sdcSpatial |
|||
Keynote |
|||||||
16:00 |
How Bioconductor advances science while contributing to the R language and community |
||||||
| For the official useR 2019 website, including conference information and tutorial schedule, visit user2019.fr. | |||||||
| Friday | |||||||
|---|---|---|---|---|---|---|---|
| 12 July 2019 | |||||||
| Time | Concorde 1+2 | Cassiopée | Caravelle 2 | Saint-Exupéry | Ariane 1+2 | Guillaumet 1+2 | |
Keynote |
|||||||
09:15 |
Tools for Model-Based Clustering in R |
||||||
⚡ |
Shiny & web |
Methods & applications |
Models & methods |
Switching to R |
Bioinformatics & biostatistics |
||
10:25 |
Native Chrome Automation using R |
fxtract - Feature Extraction from Grouped Data |
Adjusting reviewer scores for a fairer assessment via multi-faceted Rasch modelling |
The transition from conventional tools in banking to R |
rGSAn: a R package dedicated to the gene set analysis using semantic similarity measures. |
||
10:30 |
Our journey with Shiny : some packages to enhance your applications |
Spatial Optimisation with OSRM and R |
Penalized regressions to study multivariate linear models : the VariSel package. |
R++, a new Graphical User Interface for R |
Pathway-VisualiseR: An Interactive Web Application for Visualising Gene Networks |
||
10:35 |
auth0: Secure Authentication in Shiny with Auth0 |
Anomaly detection in trivago |
Maximum spacing estimation, a new method in fitdistrplus |
R in Pharma: A tailored approach to converting programmers to R in an industry resistant to change |
Compiling a global database of sapflow measurements with R: Workflow and tools for the SAPFLUXNET database |
||
10:40 |
Packaging shiny applications |
Using R and the Tidyverse to Play Fantasy Baseball |
rama: an R interface to the GAMA agent-based modeling platform |
Community Driven Data Science in Insurance |
Bayesian sequential integration within a preclinical PK/PD modeling framework using rstan package: Lessons learned |
||
10:45 |
Photon : Building an electron-shiny app using a simple RStudio add in. |
Optimizing children sleeping time using regression and machine learning |
RcppGreedySetCover: Scalable Set Cover |
unconfUROS and one of its outputs vornoiTreemap |
VICI: a Shiny app for accurate estimation of Vaccine Induced Cellular Immunogenicity with bivariate modeling |
||
10:50 |
Visualizing Huge Amounts of Fleet Data using Shiny and Leaflet |
The GPareto and GPGame packages for multi and many objective Bayesian optimization |
An R implementation of a model-based estimator – a UK case study |
Tools for 3D/4D interactive visualisation of cells and biological tissue |
|||
10:55 |
Using advanced R packages for the visualisation of clinical data in a cancer hospital setting |
Analysis of laboratory test requests in a university hospital: A Shiny App for association analysis as a demand management tool |
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Contribution & collaboration |
Model deployment |
Big/high dimensional data |
Performance |
Time series data |
Biostatistics & epidemiology 2 |
||
11:30 |
How to win friends and write an open-source book |
Machine Learning Infrastructure at Netflix |
prVis: a Novel Method for Visual Dimension Reduction |
pak: a fresh approach to package installation |
timeseriesdb - Manage, Process and Archive Time Series with R and PostgreSQL |
Implementation and analysis design of an adaptive-outcome trial in R |
|
11:48 |
Making sense of CRAN: Package and collaboration networks |
Deploying machine learning models at scale |
PLS for Big Data: A Unified Parallel Algorithm for Regularized Group PLS |
Summary of developments in R's data.table package |
A feast of time series tools |
Advances in dose-response analysis |
|
12:06 |
RWsearch: a package for CRAN users and task view maintainers |
Serverless Computing for R |
multiDA and genDA: Discriminant analysis methods for large scale and complex datasets |
Real-time file import with the vroom package |
tsbox: Class-Agnostic Time Series |
The next generation of the survival package |
|
12:24 |
Translating datasets using "datalang": the development of "datos" package for the R4DS Spanish translation |
A DevOps process for deploying R to production |
compboost: Fast and Flexible Component-Wise Boosting Framework |
A Future for R: Simplified Parallel and Distributed Processing |
RJDemetra: an R interface to JDemetra+ seasonal adjustment software |
A flexible approach to time-to-event data analysis using case-base sampling |
|
12:42 |
R Consortium Working Groups |
Authentication and authorization in plumber with the sealr package |
How to speed-up VSURF (Variable Selection Using Random Forests)? |
FastRCluster: running FastR from GNU-R |
Experiences from dealing with missing values in sensor time series data |
The R package mixmeta: an extended mixed-effects framework for meta-analysis |
|
14:15 |
'AI for Good' in the R and Python ecosystems |
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Keynote |
|||||||
| For the official useR 2019 website, including conference information and tutorial schedule, visit user2019.fr. | |||||||